Point72
Software Engineer - Data
New York, NY
Sponsorship not specified$200k-$300kDetected 8 days ago
PythonCloud PlatformsCI/CDLLMsAgileResearch
About the role
- We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies.
- For more information, visit https://point72.com/.
Responsibilities
- As a software engineer, you will help build the next generation of data infrastructure at the firm-thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience.
- As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale.
- Build and maintain agentic workflows and tooling that leverage large language models
- Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
- 3+ years of professional experience in software engineering roles building enterprise-grade systems
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Requirements
- Bachelor's degree in computer science or a similar engineering field
- Strong programming skills in Python and experience with team development on business-critical systems
- Experience with relational databases, including schema design and performance tuning
- When you work here, we provide:
Skills
- A Career with Point72's Technology Team
Compensation
- The annual base salary range for this role is $200,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package.
Benefits
- Fully-paid health care benefits
- Generous parental and family leave policies
- Tuition assistance
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This listing is sourced directly from Point72's careers page and normalized into a canonical job model.